radius = {}
for thread_id in threads.keys():
cons = get_inters_and_cons(threads[thread_id], edges)
# Update cons
for uid in cons:
if uid in radius:
radius[uid] = radius[uid] + 1
else:
radius[uid] = 1
interactions[group_id] = edges
contributions[group_id] = radius
# OVERALL
all_id = 0
all_name = 'All'
all_edges = Edge.combine(interactions.values())
all_conts = User.combine(contributions.values())
interactions[all_id] = all_edges
contributions[all_id] = all_conts
group_hash[all_id] = all_name
outs = Exporter.export(contributions, user_hash, interactions)
#print outs
success = sql_handler.insert_plots(sys.argv[1], outs, group_hash)
if success == False:
print False
exit()
sql_handler.cleanup()
print True
#doc = xmltodict.parse(fd.read())
radius = {}
for thread_id in threads.keys():
cons = get_inters_and_cons(threads[thread_id], edges)
# Update cons
for uid in cons:
if uid in radius:
radius[uid] = radius[uid] + 1
else:
radius[uid] = 1
interactions[group_id] = edges
contributions[group_id] = radius
# OVERALL
all_id = 0
all_name = 'All'
all_edges = Edge.combine(interactions.values())
all_conts = User.combine(contributions.values())
interactions[all_id] = all_edges
contributions[all_id] = all_conts
group_hash[all_id] = all_name
outs = Exporter.export(contributions, user_hash, interactions)
#print outs
success = sql_handler.insert_plots(sys.argv[1], outs, group_hash)
if success == False:
print False
exit()
sql_handler.cleanup()
print True
#doc = xmltodict.parse(fd.read())
